JNTU B.Tech III BIOMETRICS Previous Question Paper (August - 2022 - R18)

Biometrics are classified into two primary categories based on the nature of the data collected:

• Physiological Biometrics: These are based on the physical characteristics of the human body. Examples include:
  • Fingerprint recognition: Analyzing ridge and valley patterns.
  • Facial recognition: Measuring nodal points on the face.
  • Iris and Retina scanning: Analyzing unique patterns in the eye.
  • Hand geometry: Measuring the shape, size, and length of fingers.
• Behavioral Biometrics: These are based on patterns of human activity or behavioral traits. Examples include:
  • Voice recognition: Analyzing vocal patterns and frequency.
  • Keystroke dynamics: Measuring the rhythm and speed of typing.
  • Signature verification: Analyzing the pressure, speed, and stroke of a signature.
  • Gait analysis: Examining the unique way an individual walks.

Biometric applications are diverse, spanning security, convenience, and identity management:

• Forensic Applications: Used by law enforcement for criminal identification, corpse identification, and solving cold cases through fingerprint or DNA matching.
• Government and Civil Applications: Essential for national ID cards, passports (e-passports), voter registration, and welfare distribution to prevent identity fraud.
• Commercial and Access Control: Used for physical access control in secure buildings and logical access control for computer networks, smartphones, and banking applications.
• Healthcare: Used for patient identification to ensure accurate medical records and prevent insurance fraud.
• Financial Services: Facilitates secure ATM transactions, mobile banking authentication, and point-of-sale payments using facial or fingerprint recognition.
• Time and Attendance: Used in corporate environments to track employee attendance accurately, eliminating buddy-punching.